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Inventi Impact: VLSI

Articles

  • Inventi:evs/33457/20
    Design and VLSI Implementation of a Reduced-Complexity Sorted QR Decomposition for High-Speed MIMO Systems
    Research 2021 : January - March
    Lu Sun, Bin Wu, Tianchun Ye

    In this article, a low-complexity and high-throughput sorted QR decomposition (SQRD)\nfor multiple-input multiple-output (MIMO) detectors is presented. To reduce the heavy hardware\noverhead of SQRD, we propose an efficient SQRD algorithm based on a novel modified real-value\ndecomposition (RVD). Compared to the latest study, the proposed SQRD algorithm can save the\ncomputational complexity by more than 44.7% with similar bit error rate (BER) performance.\nFurthermore, a corresponding deeply pipelined hardware architecture implemented with the\ncoordinate rotation digital computer (CORDIC)-based Givens rotation (GR) is designed.

    How to Cite this Article
    Attribution/ CC Compliant Citation: Sun, Lu, Bin Wu, and Tianchun Ye. \"Design and VLSI Implementation of a Reduced-\nComplexity Sorted QR Decomposition for High-Speed MIMO Systems.\" Electronics 9.10 (2020): 1657.\nhttps://doi.org/10.3390/electronics9101657\nhttp://creativecommons.org/licenses/by/4.0/\nSome formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
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